Triple
T20274039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Corwin |
E502963
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Lebanon, Ohio |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lebanon, Ohio | Statement: [Thomas Corwin, residence, Lebanon, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lebanon, Ohio Context triple: [Thomas Corwin, residence, Lebanon, Ohio]
-
A.
Lebanon, Ohio
chosen
Lebanon, Ohio is a historic small city in Warren County known for its preserved 19th-century downtown, antique shops, and role as a regional cultural and commercial center between Cincinnati and Dayton.
-
B.
Leetonia, Ohio
Leetonia, Ohio is a small village in northeastern Ohio known historically for its coal mining and iron industry roots.
-
C.
Ney, Ohio
Ney, Ohio is a small village located in Defiance County in the northwestern part of the U.S. state of Ohio.
-
D.
Hudson, Ohio
Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
-
E.
Whitehouse, Ohio
Whitehouse, Ohio is a small village in northwest Ohio known for its suburban-rural character and proximity to the city of Toledo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e104f081909d17c1963a5db528 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 16, 2026, 10:31 a.m.